A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Journal: Cardiovascular revascularization medicine : including molecular interventions
PMID: 38467531

Abstract

BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR planning require substantial human interaction. We describe development and validation of an artificial intelligence (AI) powered software to automatically rend anatomical measurements and other information required for TAVR planning and implantation.

Authors

  • Stefan Toggweiler
    Heart Center Lucerne, Luzerner Kantonsspital, Lucerne, Switzerland. Electronic address: stefan.toggweiler@luks.ch.
  • Moritz C Wyler von Ballmoos
    Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, Tex.
  • Federico Moccetti
    Heart Center Lucerne, Luzerner Kantonsspital, Lucerne, Switzerland.
  • André Douverny
    Hi-D Imaging, Winterthur, Switzerland.
  • Mathias Wolfrum
    Heart Center Lucerne, Luzerner Kantonsspital, Lucerne, Switzerland.
  • Ziya Imamoglu
    Hi-D Imaging, Winterthur, Switzerland.
  • Anton Mohler
    Hi-D Imaging, Winterthur, Switzerland.
  • Utku Gülan
    Hi-D Imaging, Winterthur, Switzerland.
  • Won-Keun Kim
    University of Giessen/Marburg, Department of Cardiology, Giessen, Germany.

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